红外焦平面阵列非均匀性校正性能的联合评价

Joint assessment of non-uniformity correction performance of infrared focal plane array

凝视红外焦平面阵列(IRFPA)的非均匀性已成为制约红外光学系统成像质量的关键因素。针对自适应类非均匀性校正性能评价问题,提出一种非均匀性校正性能联合测试方法;结合3种典型海上场景,探讨自适应类算法校正性能效果评价;构建校正性能联合测试系统,在海面场景、海天场景和天空场景的输入条件下算法收敛时间分别为16、18和15 s,小于传统自适应算法的20 s;在海面场景输入下,算法校正精度为0.28%,低于其他自适应算法的0.6%,有效温度范围为19~31℃;在天空场景输入下,算法校正后NETD为87 mK。实验结果表明,相较于传统的单一自适应校正算法,所提出的联合处理方法能够在保证NETD的情况下,有效提高IRFPA非均匀性校正性能;也反映了IRFPA非均匀性校正算法能够改善红外光学成像系统质量。

Infrared focal plane array(IRFPA)non-uniformity correction(NUC)problem of staring infrared imaging system is the key issue that affects the imaging quality.To assess NUC performance based on self-adaption scenes,a joint test method was developed successfully,and was analyzed using three typical scenes as a test scenario.A joint test system was built further.The convergence time was respectively 16,18 and 15 s at the frame frequency of 50 Hz;the correction accuracy was 0.28%,respectively lower than 20 s and 0.6%by the traditional algorithm,and the effective temperature was in the range of 19℃and 31℃with the input of sea scene;the corrected noise-equivalent temperature difference(NETD)was 87 mK.The experimental results show that the proposed joint test method,compared with the traditional self-adaption correction algorithm,can evaluate the NUC performance of IRFPA availably,and the NUC algorithm of IRFPA can improve the imaging quality of infrared imaging system.